Demographics details for Folsom, CA vs Maple valley, WA
Population Overview
Compare main population characteristics in Folsom, CA vs Maple valley, WA.
Data | Folsom | Maple valley |
---|---|---|
Population | 83,269 | 28,220 |
Median Age | 39.9 years | 36.4 years |
Median Income | $134,935 | $137,595 |
Married Families | 44.0% | 47.0% |
Poverty Level | 7% | Data is updating |
Unemployment Rate | 3.8 | 4.7 |
Population Comparison: Folsom vs Maple valley
- In Folsom, the population is higher at 83,269, compared to 28,220 in Maple valley.
- Residents in Folsom have a higher median age of 39.9 years compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595, compared to $134,935 in Folsom.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 44.0% in Folsom.
- Folsom has a higher poverty level at 7% compared to 0% in Maple valley.
- Maple valley has a higher unemployment rate at 4.7% compared to 3.8% in Folsom.
Demographics
Demographics Folsom vs Maple valley provide insight into the diversity of the communities to compare.
Demographic | Folsom | Maple valley |
---|---|---|
Black | 4 | 2 |
White | 54 | 74 |
Asian | 18 | 11 |
Hispanic | 14 | 5 |
Two or More Races | 10 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Maple valley
- A higher percentage of Black residents are in Folsom at 4% compared to 2% in Maple valley.
- The percentage of White residents is higher in Maple valley at 74% compared to 54% in Folsom.
- The Asian population is larger in Folsom at 18% compared to 11% in Maple valley.
- The Hispanic community is larger in Folsom at 14% compared to 5% in Maple valley.
- More residents identify as two or more races in Folsom at 10% compared to 8% in Maple valley.
- The percentage of American Indian residents is the same in both Folsom and Maple valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Folsom | Maple valley |
---|---|---|
Mental Health Not Good | 13.9% | 15.9% |
Physical Health Not Good | 8.4% | 8.6% |
Depression | 17.7% | 25.8% |
Smoking | 9.5% | 9.4% |
Binge Drinking | 17.8% | 19.6% |
Obesity | 28.0% | 24.3% |
Disability Percentage | 7.0% | 7.0% |
Health Statistics Comparison: Folsom vs Maple valley
- In Maple valley, a higher percentage report poor mental health at 15.9% compared to 13.9% in Folsom.
- Higher depression rates are seen in Maple valley at 25.8% versus 17.7% in Folsom.
- Smoking is more prevalent in Folsom at 9.5% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 17.8% in Folsom.
- Obesity rates are higher in Folsom at 28.0% compared to 24.3% in Maple valley.
- Disability percentages are the same in both Folsom and Maple valley at 7.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Folsom | Maple valley |
---|---|---|
No Schooling | 0.5% (451) | 0.4% (103) |
High School Diploma | 7.7% (6,439) | 10.2% (2,878) |
Less than High School | 6.1% (5,119) | 3.1% (879) |
Bachelor's Degree and Higher | 36.4% (30,311) | 28.5% (8,032) |
Education Levels Comparison: Folsom vs Maple valley
- A higher percentage of residents in Folsom have no formal schooling at 0.5% compared to 0.4% in Maple valley.
- In Maple valley, the rate of residents with high school diplomas is higher at 10.2% compared to 7.7% in Folsom.
- More residents in Folsom have less than a high school education at 6.1% compared to 3.1% in Maple valley.
- A higher percentage of residents in Folsom hold a bachelor's degree or higher at 36.4% compared to 28.5% in Maple valley.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.